Ila Fiete

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Mikail KhonaResearch Scientist, NVIDIAEmail verificata su nvidia.com
Yoram BurakHebrew UniversityEmail verificata su elsc.huji.ac.il
Rishidev ChaudhuriAssistant Professor, University of California, DavisEmail verificata su ucdavis.edu
H Sebastian SeungProfessor, Princeton Neuroscience Institute and Computer Science Dept.Email verificata su princeton.edu
Rylan SchaefferStanford UniversityEmail verificata su stanford.edu
Akhilan BoopathyMassachusetts Institute of TechnologyEmail verificata su mit.edu
Kijung YoonHanyang UniversityEmail verificata su hanyang.ac.kr
Sarthak ChandraMassachusetts Institute of TechnologyEmail verificata su mit.edu
Ingmar KanitscheiderOpenAIEmail verificata su openai.com
David W. TankPrinceton UniversityEmail verificata su princeton.edu
Richard HahnloserInstitute of Neuroinformatics, ETH Zurich and University of ZurichEmail verificata su ini.ethz.ch
Michale S FeeProfessor of Neuroscience, Massachusetts Institute of Technology (MIT)Email verificata su mit.edu
Sugandha SharmaBrain and Cognitive Sciences, MITEmail verificata su mit.edu
John Widloskipostdoc, UC BerkeleyEmail verificata su berkeley.edu
Adrien PeyracheAssociate Professor, Montreal Neurological Institute, McGill UniversityEmail verificata su mcgill.ca
Berk GerçekGraduate Student, University of GenevaEmail verificata su unige.ch
Biraj Pandeygraduate student, University of WashingtonEmail verificata su uw.edu
Caswell BarryCDB, UCLEmail verificata su ucl.ac.uk
Neil BurgessProfessor of Cognitive Neuroscience, University College LondonEmail verificata su ucl.ac.uk
L F AbbottBrandeis University, CERN, Boston University, Columbia University, Stanford Linear AcceleratorEmail verificata su columbia.edu

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Ila Fiete

Professor of Brain and Cognitive Sciences, MIT

Email verificata su mit.edu

Theoretical neuroscience Machine Learning Theory Memory Cognitive Maps


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Accurate path integration in continuous attractor network models of grid cells Y Burak, IR Fiete PLoS computational biology 5 (2), e1000291, 2009	804	2009
What grid cells convey about rat location IR Fiete, Y Burak, T Brookings Journal of Neuroscience 28 (27), 6858-6871, 2008	331	2008
The intrinsic attractor manifold and population dynamics of a canonical cognitive circuit across waking and sleep R Chaudhuri, B Gerçek, B Pandey, A Peyrache, I Fiete Nature neuroscience 22 (9), 1512-1520, 2019	330	2019
Spike-time-dependent plasticity and heterosynaptic competition organize networks to produce long scale-free sequences of neural activity IR Fiete, W Senn, CZH Wang, RHR Hahnloser Neuron 65 (4), 563-576, 2010	314	2010
Specific evidence of low-dimensional continuous attractor dynamics in grid cells KJ Yoon, MA Buice, C Barry, R Hayman, N Burgess, IR Fiete Nature neuroscience 16 (8), 1077-1084, 2013	308	2013
Computational principles of memory. R Chaudhuri, IR Fiete Nature Neuroscience, 2016	263	2016
Grid cells generate an analog error-correcting code for singularly precise neural computation S Sreenivasan, I Fiete Nature neuroscience 14 (10), 1330-1337, 2011	248	2011
Model of birdsong learning based on gradient estimation by dynamic perturbation of neural conductances IR Fiete, MS Fee, HS Seung Journal of neurophysiology 98 (4), 2038-2057, 2007	216	2007
Attractor and integrator networks in the brain M Khona, IR Fiete Nature Reviews Neuroscience 23 (12), 744-766, 2022	203	2022
Testing odor response stereotypy in the Drosophila mushroom body M Murthy, I Fiete, G Laurent Neuron 59 (6), 1009-1023, 2008	196	2008
The mind of a mouse LF Abbott, DD Bock, EM Callaway, W Denk, C Dulac, AL Fairhall, I Fiete, ... Cell 182 (6), 1372-1376, 2020	166	2020
Gradient learning in spiking neural networks by dynamic perturbation of conductances IR Fiete, HS Seung Physical review letters 97 (4), 048104, 2006	159	2006
Fundamental limits on persistent activity in networks of noisy neurons Y Burak, IR Fiete Proceedings of the National Academy of Sciences 109 (43), 17645-17650, 2012	137	2012
Temporal sparseness of the premotor drive is important for rapid learning in a neural network model of birdsong IR Fiete, RHR Hahnloser, MS Fee, HS Seung Journal of neurophysiology 92 (4), 2274-2282, 2004	114	2004
Cortical ensembles orchestrate social competition through hypothalamic outputs N Padilla-Coreano, K Batra, M Patarino, Z Chen, RR Rock, R Zhang, ... Nature 603 (7902), 667-671, 2022	108	2022
A Model of Grid Cell Development through Spatial Exploration and Spike Time-Dependent Plasticity J Widloski, IR Fiete Neuron 83 (2), 481-495, 2014	108	2014
A map-like micro-organization of grid cells in the medial entorhinal cortex Y Gu, S Lewallen, AA Kinkhabwala, C Domnisoru, K Yoon, JL Gauthier, ... Cell 175 (3), 736-750. e30, 2018	103	2018
Grid cell co-activity patterns during sleep reflect spatial overlap of grid fields during active behaviors SG Trettel, JB Trimper, E Hwaun, IR Fiete, LL Colgin Nature neuroscience 22 (4), 609-617, 2019	97	2019
Grid cells: the position code, neural network models of activity, and the problem of learning PE Welinder, Y Burak, IR Fiete Hippocampus 18 (12), 1283-1300, 2008	96	2008
Systematic errors in connectivity inferred from activity in strongly recurrent networks A Das, IR Fiete Nature Neuroscience 23 (10), 1286-1296, 2020	86	2020

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